摘要：卷积 在学习信号与系统时学习过卷积的定义。 若$f(t),g(t)\(是定义域\)\mathbb{R}$上的两个可积函数，则 \[ y(t)=f(t)*g(t)=\int_{-\infty}^{\infty}f(\tau)g(t-\tau)d\tau \] 注意积分号内两个函数的输入参数之和等于卷积 阅读全文

摘要：Chapter7 Regularization The problem of overfitting If we have too many features, the learned hypothesis may fit the training set very well, but fail t 阅读全文

摘要：Chapter6 Logistic Regression Hypothesis representation We want \(0\le h_\theta(x)\le 1\), so defined sigmoid function(logistic function). \[ g(z)=\fra 阅读全文

摘要：Machine Learning Chapter1 Introduction What is machine learning A computer program is said to learn from experience E with respect to some task T and 阅读全文